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In this paper, we reported the synthesis of a new polyoxovanadate hybrid with chlorobenzoyl ligand, which was characterized by a series of spectroscopic technologies radiated with the wavelengths from nanoscale to decimetre including X-ray diffraction, Ultraviolet–Visible spectrometer, Fourier Transform Infrared spectrometer, Raman spectrometer and Nuclear Magnetic Resonance. The electrochemical behaviour...
Visual attention is associated with neuronal changes across the brain, and these widespread signals are generally assumed to underlie a unitary mechanism of attention. However, using signal detection theory, attention-related effects on performance can be partitioned into changes in either the subject’s criterion or sensitivity. Neuronal modulations associated with only sensitivity changes were previously...
Mining drug targets from database is a problem of challenge but significance, which has received much attention from academia and industry. As a main source of drug targets, proteins have abundant sequence properties analyzed by the modern measuring techniques and those properties provide a new perspective for detecting the potential proteins as drug targets. In our research, two typical ensemble...
The one class classification (OCC), a special learning framework dealing with the positive and unlabeled dataset, has ubiquitous applications, especially in the era of information-explosion. Since it has aroused researchers' interests from both academia and industry, we provide a comprehensive revisit to algorithms for the OCC from the perspective of methodologies with the ideas of essence behind...
In this paper, we explore the use of current deep learning methods in the field of computer-aided diagnosis (CAD). Specifically we propose the use of 3D convolutional neural nets (CNN) in classifying lung nodules based off of their appearance in CT scans. We explore the choices of network architectures, learning parameters and problem formulations. Comparing these results to other methods we show...
This papers considers parameter estimation of a constant gain system with only binary measurements of the input and output signals available. It is assumed that the thresholds of the binary quantizers can be adapted. Depending on the prior information about the stochastic nature of the input signal and the presence of output noise, several estimation schemes based on empirical measures and stochastic...
Neuronal signals related to visual attention are found in widespread brain regions, and these signals are generally assumed to participate in a common mechanism of attention. However, the behavioral effects of attention in detection can be separated into two distinct components: spatially selective shifts in either the criterion or sensitivity of the subject. Here we show that a paradigm used by many...
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